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Databricks Launches Lakewatch Cybersecurity Product Ahead of Potential IPO

Databricks has launched Lakewatch, a new cybersecurity product that competes with SIEM services from companies like Palo Alto Networks and Microsoft. Early adopters include Adobe, National Australia Bank, and Anthropic, with AI models integrated into the platform. The pricing model is based on work volume rather than data storage, aiming to reduce costs. CEO Ali Ghodsi believes LLMs can now automate key cybersecurity tasks. This move supports Databricks' $134 billion valuation ahead of a potential 2026 IPO.

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Databricks Launches Lakewatch Cybersecurity Product Ahead of Potential IPO

Databricks has entered the cybersecurity market with Lakewatch, a new AI-driven product designed to compete with traditional SIEM services, as the company prepares for a possible public offering.

Introduction to Lakewatch

Databricks, known for data processing and generative AI, is expanding into cybersecurity with Lakewatch. The product is now available for customer adoption, with early testing by major firms like Adobe, National Australia Bank, and Anthropic.

Early Adopters and AI Integration

  • Adobe and National Australia Bank are currently using Lakewatch.
  • Anthropic employs Databricks for cybersecurity, with its models integrated into Lakewatch.
  • Customers can now inquire about adopting the service.
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Competition with Established SIEM Providers

Lakewatch positions itself as an alternative to security information and event management (SIEM) services from:

  • Palo Alto Networks
  • Splunk (owned by Cisco)
  • Google
  • Microsoft

Pricing Model and Cost Structure

Unlike conventional SIEM pricing based on data storage volume, Databricks will charge for Lakewatch based on the amount of work the software performs. CEO Ali Ghodsi argues that storage-based models are prohibitively expensive for handling growing data volumes in cybersecurity.

Implications for IPO and Valuation

With a current valuation of $134 billion, Lakewatch's success could help Databricks justify this figure to public investors. CEO Ali Ghodsi has not ruled out an IPO as early as 2026, and he states that large language models (LLMs) have matured enough to automate and augment significant portions of cybersecurity operations.

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